Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

8.9K
Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
8.9K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Sustained-till-exhaustion effects of firefighter helmets on neck muscle fatigue mechanism.

Ergonomics·2025
Same author

A comprehensive methodological framework for 3D head anthropometric shape modeling of a small dataset.

Ergonomics·2025
Same author

Shoulder-assist exoskeleton effects on balance and muscle activity during a block-laying task on a simulated mast climber.

International journal of industrial ergonomics·2024
Same author

Firefighter helmets and cervical intervertebral Kinematics: An OpenSim-Based biomechanical study.

Journal of biomechanics·2024
Same author

Implant Design and Cervical Spinal Biomechanics and Neurorehabilitation: A Finite Element Investigation.

Military medicine·2024
Same author

Fabrication and characterization of a novel magnetic nanostructure based on pectin-cellulose hydrogel for <i>in vitro</i> hyperthermia during cancer therapy.

RSC advances·2024

相关实验视频

Updated: Jan 6, 2026

Personalized 3D-printed Headgear for Multi-electrode Transcranial Electrical Stimulation
07:47

Personalized 3D-printed Headgear for Multi-electrode Transcranial Electrical Stimulation

Published on: September 9, 2025

646

一个来自MRI的头有限元素模型.

Hossein Bahreinizad1, Gustavo M Paulon1, Leonardo Wei2

  • 1Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL, USA.

Biomechanics and modeling in mechanobiology
|October 3, 2025
PubMed
概括

研究人员使用MRI数据开发了头部和部的详细有限元素 (FE) 模型. 这种经过验证的计算模型促进了脑损伤生物力学研究和防护设备评估.

关键词:
计算生物力学计算力学有限元素方法 有限元素方法.图像处理 图像处理子贡献的贡献 子贡献模拟和建模以及模拟模型.创伤性脑损伤是一种创伤性脑损伤.

更多相关视频

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

12.2K
Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research
06:33

Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research

Published on: February 9, 2024

1.7K

相关实验视频

Last Updated: Jan 6, 2026

Personalized 3D-printed Headgear for Multi-electrode Transcranial Electrical Stimulation
07:47

Personalized 3D-printed Headgear for Multi-electrode Transcranial Electrical Stimulation

Published on: September 9, 2025

646
Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

12.2K
Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research
06:33

Author Spotlight: Streamlined Brain and Skull Modeling for Enhanced Neurosurgical Planning in NHP Research

Published on: February 9, 2024

1.7K

科学领域:

  • 生物力学 生物力学
  • 计算机建模 计算建模
  • 神经科学是一个神经科学.

背景情况:

  • 准确的头生物机械模型对于理解损伤机制至关重要.
  • 现有的模型往往缺乏详细的解剖学表示和对实验数据的验证.

研究的目的:

  • 使用MRI数据开发和验证一个生物忠实的头有限元素 (FE) 模型.
  • 为推进大脑和头部损伤研究创建一个计算平台.
  • 在各种冲击场景中评估防护设备的有效性.

主要方法:

  • 开发了一个头 - 部FE模型,包括头皮,头骨,大脑,脑脊液 (CSF),硬质体,皮质体,椎,圆盘,带和部肌肉.
  • 利用了一种新的脑六边形网格算法和基于健康男性参与者的MRI扫描的头皮侵蚀模型.
  • 通过复制三个实验研究来验证该模型:Alshareef的大脑声微观测,NBDL的高加速度配置,以及Ito的额头冲击椎研究.

主要成果:

  • 分段几何形状与文献数据密切一致 (在3σ范围内).
  • 脑部位移结果与Alshareef的研究有很好的相关性 (r=0.48-0.96).
  • 头部运动反应与NBDL的实验结果有很强的相关性 (r>0.97).
  • 椎脊柱的峰值剪切应变值与伊藤的实验数据相比只有1σ.

结论:

  • 开发的头FE模型是一个经过验证的计算工具.
  • 该模型有效地模拟了冲击场景期间的生物力学反应.
  • 这个平台对于推进脑损伤研究和保护设备开发有价值.